COSC 4P98 Seminars

Seminars information

Each seminar is between 20-25 minutes total (including 5 minutes for questions).
A Powerpoint or PDF presentation should be used.
The presentation should include a bibliography of sources used.
The PDF or PPT file must be given to me before a grade is assigned.

Marks allocated as follows: (Total=10)

• Content: 3
  • topic is relevant
  • depth
• Clarity: 3
  • communication
  • slides
• Time: 3
  • not too short.
• Bibliography: 1
  • list all resources

Date and topic assignment is first-come-first-serve!
(Note: If you change your topic, your time slot will be moved
to the earliest day available.)

Please see the topics list for some general topic areas.

Scheduled seminars

• Friday November 25
  1. Deep Learning Recognition of Music (Alex Ames, Ridwaan Toure)
  2. Pure Data (Jared Scott)
  3. Algorithmic composition with AI (Chris Delo)

• Wednesday November 30
  1. AI voice replication (Brendan Park, Madeline Janecek)
  2. Ai and voice/speech recognition (Joel Jacob, Alexander Freer)
  3. VR applications in Audio (Andric Joya, Grant Ferrier)

• Friday December 2
  1. Audio and Arduino/Raspberry Pi (Andrew Humphrey)
  2. Adaptive music and audio in video games (Siu Hoi Neilson Yau, Xiaobin Lui)
  3. Impulse responses (Mitchell Hingley, Will Jagger)

Topics

You can choose to do a seminar in any topic in computer media (audio, music, media, interaction,...). Please check with me regarding the suitability of your topic. Below is a list of areas in which you can select a seminar topic. These are very general themes. Your seminar should be much more specific and focussed. For example, you might give an overview of one particular research paper.

Please email me if you have more ideas that you think are suitable for this list.

• The Csound Book: Each chapter in the book and CD ROM is a great seminar topic!
• synthesis techniques
• topics in digital sampling: real-time processing, compression, ...
• psycho-acoustics: why do people hear what they think they hear?
• physically-based modeling of instruments
• DSP topics
• audio, music and video games
• Arduino, Raspberry pi and audio
• audio and graphics cards (eg. NVidia's CUDA)
• algorithmic composition (eg. fractals)
• artificial intelligence and music: expert systems, genetic algorithms, neural networks...
• music and audio apps: examples, development,...
• formal modeling of music on the computer
• graphics and audio: visualization applications
• new computer-based notation systems for music
• real-time musical accompaniment, beat-detection
• applications combining computer graphics and music
• computer analysis of compositions (plagiarism detection!)
• music and artificial intelligence: analysis, composition, modeling
• User-interfaces: novel computer-based musical instruments
• audio morphing
• pitch shifting and time compression/expansion (real-time?)
• music software, programming languages and environments (other than what was covered in the lectures) (eg. Open Music, Pure Date, Nyquist,...)